



import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase__      =			logging.get_logger(__name__)

lowerCamelCase__      =			{
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}






class  SCREAMING_SNAKE_CASE      (				snake_case_       ):
							__lowerCamelCase						:						Optional[Any]     ='mvp'
							__lowerCamelCase						:						Optional[int]     =['past_key_values']
							__lowerCamelCase						:						Dict     ={'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}





							def __init__( self		:		Optional[int]   ,					__lowercase		:		str=50267   ,					__lowercase		:		Union[str, Any]=1024   ,					__lowercase		:		int=12   ,					__lowercase		:		Optional[Any]=4096   ,					__lowercase		:		Dict=16   ,					__lowercase		:		Optional[Any]=12   ,					__lowercase		:		List[Any]=4096   ,					__lowercase		:		Dict=16   ,					__lowercase		:		Any=0.0   ,					__lowercase		:		List[Any]=0.0   ,					__lowercase		:		int="gelu"   ,					__lowercase		:		Union[str, Any]=1024   ,					__lowercase		:		Optional[int]=0.1   ,					__lowercase		:		Any=0.0   ,					__lowercase		:		Tuple=0.0   ,					__lowercase		:		List[str]=0.02   ,					__lowercase		:		List[str]=0.0   ,					__lowercase		:		Any=False   ,					__lowercase		:		Dict=True   ,					__lowercase		:		Any=1   ,					__lowercase		:		Optional[int]=0   ,					__lowercase		:		Union[str, Any]=2   ,					__lowercase		:		str=True   ,					__lowercase		:		Optional[int]=2   ,					__lowercase		:		Tuple=2   ,					__lowercase		:		Union[str, Any]=False   ,					__lowercase		:		Dict=100   ,					__lowercase		:		List[str]=800   ,					**__lowercase		:		Dict   ,					):

											'''simple docstring'''
											__a	  =		vocab_size
											__a	  =		max_position_embeddings
											__a	  =		d_model
											__a	  =		encoder_ffn_dim
											__a	  =		encoder_layers
											__a	  =		encoder_attention_heads
											__a	  =		decoder_ffn_dim
											__a	  =		decoder_layers
											__a	  =		decoder_attention_heads
											__a	  =		dropout
											__a	  =		attention_dropout
											__a	  =		activation_dropout
											__a	  =		activation_function
											__a	  =		init_std
											__a	  =		encoder_layerdrop
											__a	  =		decoder_layerdrop
											__a	  =		classifier_dropout
											__a	  =		use_cache
											__a	  =		encoder_layers
											__a	  =		scale_embedding  # scale factor will be sqrt(d_model) if True
											__a	  =		use_prompt
											__a	  =		prompt_length
											__a	  =		prompt_mid_dim

											super().__init__(
											    pad_token_id=lowerCAmelCase__   ,					bos_token_id=lowerCAmelCase__   ,					eos_token_id=lowerCAmelCase__   ,					is_encoder_decoder=lowerCAmelCase__   ,					decoder_start_token_id=lowerCAmelCase__   ,					forced_eos_token_id=lowerCAmelCase__   ,					**lowerCAmelCase__   ,					)

											if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""   ,					lowerCAmelCase__						):
															__a	  =		self.bos_token_id
															warnings.warn(
															    F"Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. "
															    """The config can simply be saved and uploaded again to be fixed."""						)





'''simple docstring'''



import argparse
from collections import defaultdict

import yaml


lowerCAmelCase_  :							Tuple             =    'docs/source/en/_toctree.yml'
def        UpperCAmelCase (    A	:					Union[str, Any]					):
							SCREAMING_SNAKE_CASE       :   Dict         =      defaultdict(A					)
							for doc in model_doc:
														counts[doc["local"]] += 1
							SCREAMING_SNAKE_CASE       :   Tuple         =      [key for key, value in counts.items() if value > 1]

							SCREAMING_SNAKE_CASE       :   Tuple         =      []
							for duplicate_key in duplicates:
														SCREAMING_SNAKE_CASE       :   Optional[int]         =      list({doc['''title'''] for doc in model_doc if doc['''local'''] == duplicate_key}					)
														if len(A					) > 1:
																					raise ValueError(
																					    F"""{duplicate_key} is present several times in the documentation table of content at """
																					    '''`docs/source/en/_toctree.yml` with different *Title* values. Choose one of those and remove the '''
																					    '''others.'''					)
														# Only add this once
														new_doc.append({'''local''': duplicate_key, '''title''': titles[0]}					)

							# Add none duplicate-keys
							new_doc.extend([doc for doc in model_doc if counts[doc['''local''']] == 1]					)

							# Sort
							return sorted(A       ,		key=lambda A					: s["title"].lower()					)
def        UpperCAmelCase (    A	:					Any=False					):
							with open(A       ,		encoding='''utf-8'''					) as f:
														SCREAMING_SNAKE_CASE       :   str         =      yaml.safe_load(f.read()					)

							# Get to the API doc
							SCREAMING_SNAKE_CASE       :   Any         =      0
							while content[api_idx]["title"] != "API":
														api_idx += 1
							SCREAMING_SNAKE_CASE       :   Dict         =      content[api_idx]['''sections''']

							# Then to the model doc
							SCREAMING_SNAKE_CASE       :   List[str]         =      0
							while api_doc[model_idx]["title"] != "Models":
														model_idx += 1

							SCREAMING_SNAKE_CASE       :   Dict         =      api_doc[model_idx]['''sections''']

							SCREAMING_SNAKE_CASE       :   List[Any]         =      [(idx, section) for idx, section in enumerate(A					) if '''sections''' in section]
							SCREAMING_SNAKE_CASE       :   int         =      False
							for idx, modality_doc in modalities_docs:
														SCREAMING_SNAKE_CASE       :   List[str]         =      modality_doc['''sections''']
														SCREAMING_SNAKE_CASE       :   List[str]         =      clean_model_doc_toc(A					)

														if old_modality_doc != new_modality_doc:
																					SCREAMING_SNAKE_CASE       :   Dict         =      True
																					if overwrite:
																												SCREAMING_SNAKE_CASE       :   int         =      new_modality_doc

							if diff:
														if overwrite:
																					SCREAMING_SNAKE_CASE       :   List[Any]         =      model_doc
																					SCREAMING_SNAKE_CASE       :   Union[str, Any]         =      api_doc
																					with open(A       ,		'''w'''       ,		encoding='''utf-8'''					) as f:
																												f.write(yaml.dump(A       ,		allow_unicode=A					)					)
														else:
																					raise ValueError(
																					    '''The model doc part of the table of content is not properly sorted, run `make style` to fix this.'''					)


if __name__ == "__main__":
							lowerCAmelCase_  :							Optional[int]             =    argparse.ArgumentParser()
							parser.add_argument('--fix_and_overwrite', action='store_true', help='Whether to fix inconsistencies.')
							lowerCAmelCase_  :							Any             =    parser.parse_args()

							check_model_doc(args.fix_and_overwrite)




